MétaCan
Menu
Back to cohort
Record W163373485 · doi:10.1007/978-3-531-91520-3_2

Lifelong Learning and Cultural Change: A European Perspective1

2009· book-chapter· de· W163373485 on OpenAlex
John K. Field

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueVS Verlag für Sozialwissenschaften eBooks · 2009
Typebook-chapter
Languagede
FieldSocial Sciences
TopicGlobal Educational Policies and Reforms
Canadian institutionsnot available
Fundersnot available
KeywordsLifelong learningGeographyEconomic geographySociologyPedagogy

Abstract

fetched live from OpenAlex

Since the mid 1990s, lifelong learning has become an extremely fashionable concept. Of course, the idea is not a new one. One leading British adult educator was already writing in 1920 on the topic of “education as a lifelong process” (Yeaxlee 1920: 25). Yet although there is a long standing recognition that learning is a process that continues beyond formal schooling, the level of interest in lifelong learning has shot up since the early 1970s, and in particular since the late 1990s. This development has primarily been associated with policy debate rather than academic interest, and above all it has been fostered by international policy forums. Key founding texts of the first wave of interest in lifelong education include the famous Faure report, published by UNESCO in 1972 (Faure 1972), which was followed by a series of national governmental measures, particularly in Europe, Australasia, Canada and Japan. The second wave of interest was marked by a plethora of major policy documents, starting with the European Commission’s white paper on competitiveness and employment (CEC 1994), followed shortly by further publications from the European Union (CEC 1995, CEC 2000) as well as the Organization for Economic Co-operation and Development (OECD 1996) and the Group of Eight (G8 1999). Once more, the publications of these international policy forums were rapidly followed by a wide range of national policy documents, all of which placed lifelong learning at their centre.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.964
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.028
GPT teacher head0.317
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it